Artificial neural networks (ANNs) have recently attracted significant attention in
environmental areas because of their great self-learning capability and good accuracy in …

The rapid increase in both the quantity and complexity of data that are being generated daily
in the field of environmental science and engineering (ESE) demands accompanied …

Current extensive research on aerobic granular sludge (AGS) largely focuses on improving
its microbial biodiversity, settlement behavior, nitrogen and phosphorus removal efficiency …

In this study, a combined alkaline (ALK) and ultrasonication (ULS) sludge lysis-cryptic
pretreatment and anoxic/oxic (AO) system (AO+ ALK/ULS) was developed to enhance …

Artificial intelligence is finding its ways into the mainstream of day-to-day operations. Novel
AI application techniques such as the artificial neural network (ANN), fuzzy logic, genetic …

During the last years, machine learning-based control and optimization systems are playing
an important role in the operation of wastewater treatment plants in terms of reduced …

Sludge bulking is very common in wastewater treatment process (WWTP), which will
degrade the operation performance or even destroy the process. In order to diagnose …

Jordan is considered an arid to semi-arid country. Water resources in Jordan comprise of
conventional resources (ground water and surface water) and non-conventional resources …

Aerated lagoons are biological systems used for the treatment of different types of
wastewaters and many operating parameters influence the performance of these systems …

In this study, the removal of 2-Naphthol Orange dye known as Acid Orange 7 (AO7) from
aqueous solutions was studied using a modified adsorbent of wheat bran. The efficiency of …